目的 了解2018—2021年阜阳市常住人口心脑血管疾病、恶性肿瘤、慢性呼吸系统疾病和糖尿病四大类慢性病死亡状况、特征及变化趋势,为慢性病预防控制措施的干预提供参考依据。方法 利用人口死亡信息登记管理系统和人口数据资料分析四大类慢性病死亡及早死状况,通过寿命表法计算30~69岁人群四大类慢性病死亡的风险。结果 阜阳市2018—2021年四大类慢性病年均死亡率为643.64/10万,年均早死概率为13.49%。总死亡中,四大类慢性病占85.76%,四大类慢性病过早死亡占24.07%,粗死亡率及占全人群死亡比例呈现整体上升趋势(χ2=180.861,P＜0.001;χ2=152.759,P＜0.001)。早死概率呈整体下降趋势(APC=-4.59%)。结论 四大类慢性病是导致阜阳市居民死亡的主要原因;阜阳市四大类慢性病早死概率处于一个相对较高的水平。降低慢性病过早死亡是慢性病防控的主要目标,全面加强慢性病危险因素的防控,推进全面健康生活方式将有助于降低四大类慢性病早死概率。
Abstract
Objective To understand the death status,characteristics and change trends of four major categories of chronic diseases,including cardiovascular diseases,malignant neoplasms,chronic respiratory diseases and diabetes,in the resident population of Fuyang City from 2018-2021,and to provide a reference basis for chronic disease prevention and control measures. Methods Mortality and demographic data information was used to analyze the mortality and early mortality status of the four major chronic disease categories.Life table method was used to calculate the risk of death from four major chronic diseases in people aged 30-69 years. Results The average annual mortality rate of the four major chronic diseases was 643.64/100 000 in Fuyang City from 2018 to 2021,and the average annual rate of early death was 13.49%.Among the total deaths,the four major chronic diseases death accounted for 85.76% and the four major chronic diseases early death accounted for 24.07%.The crude death rate and the composition of causes of death showed an overall increasing trend (χ2=180.861,P＜0.001,χ2=152.759,P＜0.001) .The probability of early death showed an overall decreasing trend (APC=-4.59%). Conclusion Four major types of chronic diseases are the main causes of death for Fuyang City residents.The probability of premature death from four major types of chronic diseases in Fuyang City is at a relatively high level.Reducing premature death from chronic diseases is the main goal of prevention and control of chronic diseases.Strengthening the prevention and control of risk factors for chronic diseases and promoting comprehensive healthy lifestyle actions will help reduce the probability of premature death from four major categories of chronic diseases.
关键词
慢性病 /
死亡率 /
早死概率
Key words
Chronic diseases /
Mortality /
Early death probability
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参考文献
[1] WHO.Global status report on noncommunicable diseases 2014[EB/OL].(2014-10-26)[2021-10-18].https://www.who.int/publications/i/item/9789241564854.
[2] 中共中央 国务院.“健康中国2030”规划纲要[EB/OL].(2016-10-2)[2022-11-23].http://www.nhc.gov.cn/guihuaxxs/s3586s/201610/21d120c917284007ad9c7aa8e9634bb4.shtml.
[3] 健康中国行动推进委员会.健康中国行动(2019—2030年)[EB/OL].(2019-07-15)[2022-11-24].http://www.nhc.gov.cn/guihuaxxs/s3585u/201907/e9275fb95d5b4295be8308415d4cd1b2.shtml.
[4] 国务院办公厅.中国防治慢性病中长期规划(2017-2025年)》[EB/OL].(2017-01-22)[2022-11-24].http://www.gov.cn/zhengce/content/2017-02/14/content_5167886.htm.
[5] 中国疾控中心慢病中心,国家卫健委统计信息中心.中国死因监测数据集2019[M].北京:中国科学技术出版社,2020.10.
[6] 李晓松.卫生统计学(第八版)[M].北京:人民卫生出版社,2017.
[7] WHO.Global status report on noncommunicable diseases 2014[M].Geneva:World Health Organization,2014:137.
[8] 李雪梅,夏雅娟.国内外慢性病防控策略[J].公共卫生与预防医学,2021,32(3):117-121.
[9] 曹洪娟,李修德,解少煜,等.六安市2018年居民死亡原因分析[J].安徽预防医学杂志,2020,26(3):188-191.
[10] 何柳,石文惠.人口老龄化对中国人群主要慢性非传染性疾病死亡率的影响[J].中华疾病控制杂志,2016,20(2):121-124+133.
[11] 俞亮,贺琴,张礼兵,等.金寨县2020年居民死因及期望寿命分析[J].安徽预防医学杂志,2022,28(2):107-110+130.
[12] 李斐斐,赵园园,田小草,等.2015—2019年青岛市主要慢性病死亡情况及早死概率分析[J].中国公共卫生管理,2022,38(5):663-666.
[13] 国务院新闻办公室网站.《中国居民营养与慢性病状况报告(2020年)》发布会图文实录[EB/OL].(2020-12-23)[2022-10-23].http://www.scio.gov.cn/xwfbh/xwbfbh/wqfbh/42311/44583/wz44585/Document/1695276/1695276.htm.
[14] 黄剑辉,黄若刚,段佳丽,等.《2018年度北京市卫生与人群健康状况报告》概述[J].首都公共卫生,2020,14(5):230-232.
[15] 邢秀雅,贺琴,程倩瑶,等.安徽省2014—2018年4类重大慢性病早死概率变化趋势及健康指标达标分析[J].中华流行病学杂志,2021,42(3):531-537.
[16] 贺琴,邢秀雅,陈叶纪,等.2017年安徽省各市四大类慢性病早死概率测算[J].安徽预防医学杂志,2019,25(1):10-13+28.
[17] 王丽,江启成.欧盟六国居民收入与过早死亡率关系研究[J].国外医学卫生经济分册,2007,24(1):15-18.
[18] 曾新颖,李镒冲,刘世炜,等.1990—2015年中国4类慢性病早死概率与"健康中国2030"下降目标分析[J].中华预防医学杂志,2017,51(3):209-214.
[19] Kontis V,Mathers CD,Rehm J,et al.Contribution of six risk factors to achieving the 25×25 non-communicable disease mortality reduction target: a motality study [J].Lancet,2014,384(9941): 427-437.
[20] 中国疾病预防控制中心慢性非传染性疾病预防控制中心.中国慢性病及危险因素监测报告2018[M].北京:人民卫生出版社,2021.
[21] Confortin SC,Andrade SR,Draeger VM,et al.Premature mortality caused by the main chronic noncommunicable diseases in the Brazilian states[J].Rev Bras Enferm,2019,72(6):1588-1594.
[22] Gopalani SV,Samo M,Soaz S,et al.premature mortality from noncommunicable diseases in the Federated States of Micronesia,2003-2012[J].Asia Pac J Public Health,2017,29(3):171-179.
[23] Istilli PT,Teixeira CRS,Zanetti ML,et al.Assessment of premature mortality for non-communicable diseases[J].Rev Bras Enferm,2020,73(2):e20180440.
[24] Lu J,Lu Y,Wang X,et al.Prevalence,awareness,treatment,and control of hypertension in China: data from 1.7 million adults in a population-based screening study (China PEACE million persons project)[J].Lancet,2017,390(10112): 2549-2558.
[25] 邢秀雅,徐伟,陈叶纪,等.安徽省2013年≥18岁居民高血压患病、知晓、治疗及控制现状分析[J].中国医学前沿杂志(电子版),2016,12:6-12.
[26] 张思维,雷正龙,李光琳,等.中国肿瘤登记地区2006年肿瘤发病和死亡资料分析[J].中国肿瘤,2010,19(6):356-365.
[27] 朱冰.2012年安徽省城乡居民六类健康问题知晓率的比较分析[J].中国初级卫生保健,2017,31(12):62-65.
[28] 徐伟,许精巧,戴丹,等.2019年安徽省成年居民膳食中盐摄入量估计[J].中华流行病学杂志,2021,42(5):823-826.
[29] 丁贤彬,唐文革,毛德强,等.慢性病综合防控示范区建设对主要慢性病早死概率的影响[J].中国慢性病预防与控制,2018,26(1):1-4.
[30] Santosa A,Rocklöv J,Högberg U,et al.Achieving a 25% reduction in premature non-communicable disease mortality: the Swedish population as a cohort study[J].BMC Med,2015,13:65.
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